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Regional innovation in the US over space and time

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dc.creator Varga, Attila
dc.creator Anselin, Luc
dc.creator Ács, Zoltán J.
dc.date 2004
dc.date.accessioned 2013-10-16T07:07:46Z
dc.date.available 2013-10-16T07:07:46Z
dc.date.issued 2013-10-16
dc.identifier http://hdl.handle.net/10419/19963
dc.identifier ppn:494487941
dc.identifier.uri http://koha.mediu.edu.my:8181/xmlui/handle/10419/19963
dc.description Modeling the spatial aspect of growth has finally become an important subject of economics as exemplified by the increasing popularity of the new economic geography. However, new economic geography models have still not been able to develop a consistent approach to integrate innovation, space and economic growth into a coherent theoretical framework A potential reason for this is that the spatial dimension of knowledge production is still only partly understood in the empirical literature. To shed some additional light on the spatial dimension of innovation we present results of a first-cut analysis building on a recently developed cross sectional-time series data set of US innovation, private and university research and high technology employment. The novelty of this data set is that it opens up the possibilities to incorporate the time dimension into knowledge production function analysis at an appropriate level of spatial aggregation (i.e., US metropolitan areas) that has not been possible in empirical research yet.
dc.language eng
dc.relation Papers on entrepreneurship, growth and public policy 1804
dc.rights http://www.econstor.eu/dspace/Nutzungsbedingungen
dc.subject O40
dc.subject H41
dc.subject O31
dc.subject ddc:330
dc.subject innovations
dc.subject patents
dc.subject high technology R&D
dc.subject knowledge production function
dc.subject Innovation
dc.subject Forschung
dc.subject Regionale Disparität
dc.subject Regionale Entwicklung
dc.subject Wissen
dc.subject Produktionsfunktion
dc.subject Schätzung
dc.subject USA
dc.title Regional innovation in the US over space and time
dc.type doc-type:workingPaper


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